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Fascinated
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Fascinated

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gianfa/README.md

Hi πŸ‘‹

I’m interested in how intelligent systems should reason under uncertainty.

  • πŸ”­ I work on ML research infrastructure: CI/CD for R&D, scientific libraries, and reproducible experimentation.
    Background in applied ML, including recommendation systems.
  • 🌱 Currently studying Causal Inference and Agentic AI, with a focus on robustness, identifiability, and decision-making.
  • πŸ‘― Open to collaborations on causal ML, cognitive systems, and research-oriented ML projects.
  • πŸ’¬ Ask me about Deep Learning, ML systems, Python, and translating theory into experiments.

πŸ“« gian.angelini@hotmail.com

⚑ Fun fact: I sometimes join or host remote study sessions across time zones. When I wake up too early, I occasionally say the wrong English word β€” and only realize later that I completely changed the meaning of the sentence πŸ˜‚

If you’re curious about how I organize my thinking and technical notes, you can start here: πŸ‘‰ start_from_here

Pinned Loading

  1. cytokinin cytokinin Public

    Promote your data rooting and make your ML projects to flourish

    Jupyter Notebook 3 2

  2. start_from_here start_from_here Public

    About me & some stuff

    Jupyter Notebook 1 2

  3. deep_learning_resources deep_learning_resources Public

    Links to useful deep learning resources

    2 1

  4. docks docks Public

    A simple automatic Dockerfile documentation generator

    Python 1

  5. azdocgen azdocgen Public

    A Simple Azure Pipelines documentation generator

    Python 1 1